Predictive Analytics World Conference_ Speakers - March, 2011

8/6/2019 Predictive Analytics World Conference_ Speakers - March, 2011

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Speakers Predictive Analytics World San Francisco 2011

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Dean Abbott, President, Abbott Analytics

Dean Abbott is President of Abbott Analytics in San Diego, California. Mr.

Abbott has over 21 years of experience applying advanced data mi ning,

data preparation, and data visualization methods in real-world data

intensive problems, including fraud detection, risk modeling, text mining,

response modeling,s urveyanalysis, planned giving, and predictive

toxicology. In addition, Mr. Abbott serves as chief technologyofficer and

mentor for s tart-up companies focused on applying advanced analytics

in their consulting practices.

Mr. Abbott is a seas oned instructor, having taught a wide range of data mining tutorials and

sem inars for a decade to audiences of up to 400, including PAW, KDD, AAAI, IEEE and

several data mining s oftware users conferences. He is the instructor of well-regarded data

mining courses, explaining concepts in language readily understood bya wide range of

audiences, including analytics novices, data analysts, statisticians, and business

professionals . Mr. Abbott also has taught applied data mining courses for major software

vendors, including SPSS-IBMModeler (formerly Clementine), Unica PredictiveInsight

(formerlyAffinium Model), Enterprise Miner (SAS), Model 1 (Group1 Software),and hands-on

courses using Statistica (Statsoft), Tibco Spotfire Miner (formerlyInsightful Miner), and CART

(Salford Systems ).

Case Study: Turning Member Satisfaction Surveys into an Actionable Narrative

Full-day Workshop: Hands-On Predictive Analytics

Dave Andre, Ph.D., Chief Executive Officer and Chief TechnologyOfficer, Cerebe llum Capital

David co-founded Cerebellum Capital, Inc, where he is presentlythe

Chief Executive Officer and Chief TechnologyOfficer. He is als o a

research advisor to BodyMedia, Inc. Since 2006, Dr. Andre has been

principal investigator on a multi-million dollar res earch grant to non-

invasivelypredict blood glucose from a multi-sensor stream of

physiological data. From 2002 until 2007, Dr. Andre was Director of

Informatics at BodyMedia, where he and his team collected and an alyzed

clinical and user data and created state of the art statistical machine learning m odels that

map s ensor data to detailed and specific statements about human physiology and activity,

such as energy expenditure and sleep state.

In 1996, Dr. Andre co-founded Blue Pumpkin Software, a workforce managem ent softwarecompany that was sold to Witness Systems in 2005. He invented the scheduling engines

utilized in the company's products that took historical time-series of call data of different types

and human resource constraints and created schedules to maximize performance using

innovative s uccessive approximation and sim ulation techniques. Dr. Andre also co-founded

and is a partner in Just Passing Through, LLC, a companythat creates, runs, and films

team-based puzzle races. Dr. Andre earned B.S.and B.A. degrees in Symbolic Systems and

Psychology from Stanford Universityand a PhD in Artificial Intelligence from U.C. Berkeley,

where he was awarded a HertzFellowship. In addition to holding numerous patents for his

inventions, he is the author of more than 60 peer-reviewed publications in the areas of

statistical machine learning, robotics, reinforcement learning, evolutionarycomputation, and

parallel processing, as well as a book on automatic circuit design.

Black Box Trading: Analytics in the Land of the Vampire Squid

Sugato Basu, Ph.D., Senior Research Scientist, Google

His areas of research expertise include machine learning, data mining,

predictive modeling and optimization, with special emphasis on

scalable algorithm design for text and social network analysis . He did

his Ph.D. in machine learning from UT Austin, and worked at SRI

Fol low Li ke J oi n Bl og

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International on the CALO project before joining Google. He has written

multiple papers, book chapters, and encyclopedia articles on clustering,

sem i-supervised learning, record linkage, social search / routing, rule

mining, and optimization, and has won best paper awards at the KDD, ICML and SDM

conferences. He continues to serve on multiple conference / journal committees and NSF

panels on machine learning and data mining.

Keynote: Lessons Learned in Predictive Modeling for Ad Targeting

John C. Brocklebank, Ph.D., Vice President, SAS Solutions OnDemand

John Brocklebank, VP of SAS Solutions OnDemand, oversees SAS'

growing menu of hosted applications, directing product research and

development, marketing, sales, program management, IT, quality

assurance, and documentation. Current products and services address

critical issues in marketing, fraud detection, drug development and

education, as well as Advanced Analytics Lab and Education Value

Added Assessment System (EVAAS) ASP educational testing (K-12).

Previously a Senior Research and Development Director for SAS' Analytic ASP, John joined

SAS in 1981. He earned a Ph.D. in statistics from NC State University, where he was adj unct

professor from 1999-2000. John holds six US patents and has published some 30 papers

and presentations.

Sponsor Presentation:The Hefty Toll of Fraud: How to Leverage Predictive Analytics

and Social Network Analysis

Tilmann Bruckhaus, Ph.D., Director, Risk and Analytics Engineering,

Eventbrite

His areas of research expertise include machine learning, data mining,

predictive modeling and optimization, with special emphasis on

scalable algorithm design for text and social network analysis . He did

his Ph.D. in machine learning from UT Austin, and worked at SRI

International on the CALO project before joining Google. He has written

multiple papers, book chapters, and encyclopedia articles on clustering,sem i-supervised learning, record linkage, social search / routing, rule

mining, and optimization, and has won best paper awards at the KDD, ICML and SDM

conferences. He continues to serve on multiple conference / journal committees and NSF

panels on machine learning and data mining.

Case Study: Market Penetration:Is Your Growth on Track?

Dustin Cannon, Senior Vice President, TXU Energy

Dustin Cannon is currently a Manager Market Research at TXU Energy in Irving, TX. His

primary role on the TXU Energym arket research team is to provide support for advanced

analytics. Prior to joining TXU Energy Dustin was the Director of Advanced Analytics at

M/A/R/C Research for 12 years.

Case Study: Message Optimization using Discrete Choice Analysis in the Energy

Sector

Sameer Chopra, Vice President of Marketing Analytics, Orbitz

Worldwide, Inc.

Sameer Chopra is VP of Marketing Analytics at Orbitz Worldwide, a

leading online global travel company. He has 15 years of experience in

applying data mining and predictive analytics across various business

domains at both Fortune 500 firms and startups -- saving companies

millions of dollars and boosting their top line. Sameer has led Analytical

teams in areas including Revenue Management, Fraud Detection, Web

Analytics, CRM, Internet Marketing, and Experimentation (A/B &

Multivariate Testing).

Prior to Orbitz, Sameer was in the leadership team at Intuit's Small Bus iness Group (SBG),

where he was leading Marketing Analytics and Web Testing. He instilled a culture of test &

learn and successfully helped SBG drive double-digit millions in annual incremental revenue

from leveraging Test Analytics.




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Sameer is an eBay Inc. veteran where he was Director of Analytics. He led Search Engine

Marketing (SEM) Analytics for the firm, res ulting i n record ROI for eBay's Internet Marketing

group. He led the foundational analytics effort in building Triton, eBay's automated SEM

platform. Sameer was als o a core member of the Trust & Safety Group in the formative years,

where he appl ied predictive m odels to detect fraud proactively.

Sameer als o ran eBay Inc's Global Experimentation Analytics Group -- the tes ting program

was highlighted in the Feb 2009 issue ("How to Design Smart Business Experiments") ofthe

Harvard Busines s Review (HBR).

Sameer holds a Masters degree in Operations Research from the Mass achusetts Institute of

Technology(MIT).He holds an u ndergraduate degree (Summa Cum Laude) in Mathematics

with a minor in Com puter Science from AlleghenyCollege, where he graduated valedictorian.

LinkedIn: http://www.linkedin.com/pub/sameer -chopra/1/410/267

Case Study: Enhance Business Performance by Applying Analytics to Search Engine

Marketing (SEM)

John Colias, Senior Vice President, Decision Analyst, Inc.

John leads the Advanced Analytics Group at Decision Analyst. In this capacityhe designs ,

implem ents, and interprets cus tom quantitative research. His work is focused on applying

advanced metrics and models in the areas of product optimization, market segm entation,

competitive analysis, brand development, pricing strategies, predictive modeling,

forecasting, and panel data econometrics.

John has more than 25 years of experience with econometric and simulation m odels. He

has des igned marketing research in a broad spectrum of industrycategories, including

prescription drug, packaged goods, high-tech and computer, telecommunications,

insurance, restaurants, automobile, and retail gasoline.John holds a Ph.D. in Economics

from The University of Texas at Austin with specializations in econometrics and mode ling

methods.

Case Study: Message Optimization using Discrete Choice Analysis in the Energy

Sector

Thomas Dave nport, President's Distinguished Professor, Babson

College, Author, Competing on Analytics: Th e New Science of Winn ing;

Co-Founder, International Institute for Analytics

Thomas Davenport is currentlythe President's Distinguished Professor

of Information Technologyand Management at Babson College. He is

the former director of research centers at SAS, Ernst & Young, and

McKinsey, and has taught at Harvard Business School, Dartmouth's

Tuck School of Business, and the University of Texas at Austin.

Thomas is a frequent contributor to Harvard Business Review and other

leading journals. His recent article, "Competing on Analytics," was Harvard Business

Review's mos t requested article reprint of 2006. He is the author or co-author of twelve

books, including the bestsellers Working Knowledge: How Organizations Manage What They

Know and Process Innovation: Reengineering Work through Information Technology. His

latest book, Competing on Analytics: The New Science of Winning, has become a best-seller

and is being translated into 10 languages.

Keynote: The New Quantitative Era: Creating Successful Business Change with

Analytics

Antony F. DeSantis, CFE, Senior M anager, Deloitte Financial Advisory

Services LLP

Mr. DeSantis is a Senior Manager in the Data Analytics practice within

Deloitte Financial Advisory Services LLP with m ore than 12 years

experience specializing in the forensic analysis of electronic data. His

technical experience includes the analysis of complex structured and

unstructured data, management and implementation of small-scale

information management systems, the design and operation of

relational databases in investigations, litigations, claims processing and

settlement adminis tration environments and the use of databases and forecastingmethodologies for identifying indicators of fraud. Mr. DeSantis is a Certified Fraud Examiner

and has presented on International eDiscoveryIss ues, Investigative Data Considerations,

Technologyto Detect Potential Violations of the U.S. Foreign Corrupt Practices Act, and

Healthcare Data Mining.




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Gold Sponsor Presentation:Enhancing Rules-Based Approaches to Fraud, Corruption,

and Bribery Detection with Predictive Analytics

Anindya Dey, Business Analyst, Hewlett-Packard

Anindya Sankar Dey is currently a Business Analyst in Hewlett-Packard.

He has about 1.5 years of experience in data mining and modeling

techniques. Prior to Hewlett-Packard he finis hed his Master Of Statistics

from Indian Statistical Institute.

Case Study: Customer Repurchase Analysis - B2B Context: ABayesian Framew ork

John F. Elder IV, Ph.D, Chief Scientist, Elder Research, Inc.

Dr. John Elder heads a data mining consulting team with offices in

Charlottesville Virginia, Washington DC, Mountain View California, and

Manhasse t New York (www.datamininglab.com). Founded in 1995,

Elder Research, Inc. focuses on investment, commercial and security

applications of advanced analytics, including text mining, forecasting,

stock selection, image recognition, process optimization, cross-se lling,

biometrics, drug efficacy, credit scoring, market timing, and fraud

detection.

John obtained a BS and MEE in Electrical Engineering from Rice University, and a PhD inSystems Engineering from the University of Virginia, where he's an adjunct professor

teaching Optimization or Data Mining. Prior to 15 years at ERI, he spent 5 years in aerospace

defense consulting, 4 heading research atan investment management firm, and 2 in Rice

University's Com putational & Applied Mathematics department. Dr. Elder has authored

innovative data mining tools, is a frequent keynote speaker, and was co-chair of the 2009

Knowledge Discoveryand Data Mining conference, in Paris.

John's courses on analysis techniques -- taughtat dozens of universities, companies, and

government labs -- are noted for their clarity and effectiveness . Dr. Elder was honored to

serve for 5 years on a panel appointed by the President to guide technology for National

Security.His book with Bob Nisbet and GaryMiner, Handbook of Statistical Analysis & Data

Mining Applications, won the PROSE award for Mathematics in 2009. His book with Giovanni

Seni, Ensemble Methods in Data Mining: Improving Accuracythrough Combining

Predictions, was published in February 2010. John is a follower of Christ and the proud

father of 5.

Text Mining: Lessons Learned

Full-day Workshop: The Best and the Worst of Predictive Analytics: Predictive

Modeling Methods and CommonData Mining Mistakes

Bill Franks, Chief Analytics Officer, Global SAS Program, Teradata

Corporation

Bill is Chief Analytics Officer for Teradata's global SAS program. In this role, he provides

thought leadership to clients on trends in the Advanced Analytics space, how clients can

leverage those trends, and how Teradata and SAS can support those efforts. Bill also

oversees the Busines s Analytic Innovation Center, which is an analytics think tank jointly

spons ored by Teradata and SAS. Bill has extensive background helping clients derive value

through the use of data analysis and modeling, with a focus on making results access ible to

the business communi ty. His work has spanned clients in a varietyof industries ranging in

size from Fortune 100 companies to small non-profit organizations. Bill is als o a faculty

membe r of the International Ins titute for Analytics.

Gold Sponsor Presentation:Let's Talk About Fleas!

Kaiser Fung, Senior Director of Strategic Analytics, Sirius XM Radio

Kaiser Fung is Senior Director of Strategic Analytics at Sirius XMRadio,

and author of Numbers Rule Your World: the hidden influence of

probabilityand statistics on everything you do (McGraw-Hill, 2010). At

Sirius XM Radio, his team is res ponsible for applying advanced

statistical techniques to solve busines s problems , such as m ultivariatetesting and predictive modeling. Mr. Fung has over 15 years of

experience building predictive models for the media, Internet and

banking companies. He holds an MBA from Harvard Business School, and statistics and

operations research degrees from Cambridge and Princeton. He teaches statistics for

managem ent at New York University.

Lab Session:Making Predictive Models Count




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Anthony Goldbloom, Chief Executive Officer, Kaggle

Anthonyis the Founder and CEO of Kaggle Pty Ltd, a global platform for

data prediction competitions. Anthonya ss ists companies with framing

modeling tasks as d ata prediction competitions, ensuring competitions

reflect real-life projects, and that the results can be integrated into their

day-to-day operations.

Before founding Kaggle, Anthonyworked in the macroeconomic

modelling areas of the Reserve Bank of Australia and before that the Australian Treasury. In

these roles, Anthonywas res ponsible for building and maintaining macroeconomic models

of the Australian economy. He used these m odels to generate economic forecasts and to

sim ulate the impact of changes in interest rates and fiscal policyon the Australian economy.

Anthonyholds a first class honours degree in economics and econometrics from the

University of Melbourne and has published in The Economist magazine and the Australian

Economic Review.

Case Study: Crowdsourcing Data Prediction

Stephen Hollifield, Information Services Manager, Richmond, Virginia

Police Department

Stephen Hollifield is the CIO for the Richmond Police department in Richmond, Virginia and

a Strategic Business /ITCons ultant.He has des igned Enterprise Architectures i n variousindustries, such as law enforcement,finance, non-profit charityand technology. He has

worked in the IT industry for over 18 years, conducting engagements in enterprise busines s

process modelling, strategic/tactical business planning, enterprise busines s architecture

and IT architecture integration, strategic frameworks integration with systems development

methodologies, enterprise busines s requirements analysis, and IT service offering

enhancements.

Case Study: Predicting Crime: Reducing Crime with Business Intelligence

Piyanka Jain, Senior M anager, NA Business Deve lopement and

Analytics, PayPal

Piyanka's strength and interest lies i n deriving actionable insights from

data to enable informed trade-offs and decision m aking. She neverstops asking "Why" questions as customer behavior, action and attitude

continuously intrigue her.

Currently,s he is engaged in le ading strategic analytics for PayPal that

enables fact-based decisions on fine-tuning customer experience and

product development. From building a recommendation engine for "Next Best product" for

merchants to identifying the factors that indicates to an event happening in future, her role at

PayPal is to lead the organization into learning m ore about their products and customers

through rigorous understanding and mining of data.

Prior to this, Piyanka provided database driven analytical s ervices to Adobe Product

Marketing and Campaign Marketing. AtAdobe, Piyanka designed and analyzed programs,

used program learnings to drive planning for direct marketing communication programs,

created segmentation and targeting strategy, mined data for predictors of campaign

performance, built statistical models to identifytop converters.

Prior to this, Piyanka founded Out of Box Media in 2003. The company's first Ad Campaign

started with Chinese boxes and then grew to incorporate other types of containers including

Pizza boxes, cake boxes etc. Her experience in advertising at Google, and her science and

engineering degrees from Texas A&Mand University of Minnesota enabled her to reach out

to a wide varietyof customers.

In her spare time, Piyanka likes to run, practice Yoga, paint, make pottery, and get an

occasional game of Squash with her husband, Parth Sethia.

Case Study: Putting Predictive Analytics into Context: The Analytics Va lue Chain

Kathlee n Kane, Principal Decision Scientist, Fidelity Investments




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Kathleen Kane is a Principal Decision Scientist with the Modeling and

Analytics Strategy team at FidelityInvestments in Smithfield, RI. The

Modeling and Analytics Strategy team works with partners in m arketing,

distribution and product to answer business ques tions using statistical

data analysis.

Kathleen has more than ten years of data mining experience in the

financial s ervices industry.

Kathleen received her BA in engineering from Dartmouth College, and her MS from the MIT

Sloan School of Management.

True-Lift Modeling:Mining for the Most Truly Responsive Customers and Prospects

David Katz, Senior Analyst, Dataspora, and President, David Katz

Consulting.

David Katzhas been in the forefront of applying statistical models and database technology

to marketing problems since 1980. He holds a Master's Degree in Mathematics from the

University of California, Berkeley. He is one of the founders of Abacus Direct Marketing and

was previously the Director of Database Development for Williams-Sonoma.

He is the founder and President of David KatzCons ulting, specializing in sophis ticated

statistical services for a varietyof applications, with a special focus on the Direct Marketing

Industry. David Katzhas an extensive background that includes experience in all aspects of

direct marketing from data mining, to strategy, to test design and implem entation.In addition,

he consults on a varietyof data m ining and s tatistical applications from public health to

collections analysis . He has partnered with consulting firms such as Ernst and Young,

Prediction Impact, and most recentlyon this project with Dataspora.

Case Study: Social Networking Data for Churn Analysis

Joel Kleinman, Vice President, Internet Channel BI & Analysis, Bank of

the West

Mr. Kleinman specializes in internet marketing analytics and finance. In

his current role, he manages bus iness intelligence and financial

planning for the internet channel at Bank of the West.

Between 2002 and 2008, Mr. Kleinman managed internet research and

analytics for Washington Mutual Bank. Prior to that, he spent several

years at internet marketing agencies developing analytical solutions andmarketing strategy.

Mr. Kleinman received his M.B.A. from UC Davis in 2008 and a B.A. in Psychologyfrom San

Francisco State Universityin 1998.

Case Study: Effectively Incorporating Internet in Customer Value Models

Rado Kotorov Ph.D., Director, SP M anagement & Competitive Strategy,

Information Builders

Dr. Rado Kotorov, technical director of Strategic Product Management for

Information Builders, is responsi ble for emerging reporting, analytic, and

visualization technologies. He is driving the adoption of RIA, AJAX,

search, and other Web 2.0 and mobile technologies to make BI andenterprise analytics more accessible, intuitive, and collaborative. Active

Reports, Magnify, and Power Painter are jus t a few of the applications

created through his efforts.

Prior to joining Information Builders he was chief financial officer with responsibilities in IMS

and IT at DeBacker Management LLC. He was also BI director at CMI Marketing, where he

managed the implementation of BI and financial reporting solutions, data warehouses, and

custom applications. Dr. Kotorov has developed analytic models and applications for the

pharmaceutical,retail,CPG, financial, and automotive industries. He has a Ph.D. in decision

and game theory, and economics from Bowling Green State University. He has also

published on business processes, emerging technologies, CRM, KM, innovation, and

entrepreneurship.

Platinum Sponsor Presentation: WebFOCUS RStat - Predict the Future and Make

Effective Decisions Today

Max Kuhn, Director, Nonclinical Statistics, Pfizer




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Max Kuhn, Director, Nonclinical Statistics, Pfizer

Max Kuhn is a Director of Nonclinical Statistics at Pfizer Global R&D in

Connecticut. He has been applym odels in the pharmaceutical

industries for over 15 years.

He is a leading R developer and the author of several R packages

including the CARET package that provides a sim ple and consis tent interface to over 100

predictive models available in R.

Mr. Kuhn has taught courses on modelin g within Pfizer and externally, including a clas s for

the India Ministryof Information Technology.

Full-day Workshop: R for Predictive Modeling:A Hands-On Introduction

Aaron Lai, Prior VP and Senior Quantitative Research Associate,

Bank of America

Aaron Lai, CFA, is the former VP and Senior Quantitative Res earch

Associate for the Innovative DeliverySolutions team of the Bank of

America in San Francisco. Aaron is now Senior Manager of Marketing

Analytics for Blue Shield of California. He has over 10 years experience

in consumer analytics and database marketing for financial institutions

and has patents currently pending. He has published in academic

journals and has presented in international data-mining conferences.

He also served on the CFAexamination curriculum comm ittee and the CFAMagazine

Advisory committee. He received a B.Sc.(Hons) in Finance (CityUniversityof Hong Kong), a

B.Sc.(Econ)(Hons) in Management Studies (University of London), a MBA (Purdue

University), and a M.Sc. in Sociology (University of Oxford).

Case Study: How Do Peers Evaluate Peer-to-Peer Lending?

Kim Larsen, VP of Analytical Insights, Market Share Partners

Kim Larsen is a VP ofAnalytical Insights at Market Share Partners, a

leading marketing science company based in Los Angeles. Prior to

Market Share Partners, he worked in the advanced analytics department

of a Fortune 500 financial services institution. Kim has worked in the

area of data mining and s tatistical modeling indus trys ince 2001 and

programmed in SAS since 1995. Throughouthi s professional career, hehas worked on and managed a wide arrayof data mining and analytical

problems including price optimization, media mix optimization, demand forecasting,

customer segmentation, and predictive modeling.

Kim frequently speaks at data mining conferences around the world in the areas of

segmentation and predictive modeling and has been an acclaimed keynote speaker at

Predictive Analytics World and other conferences. His m ain areas of research include

additive non-linear modeling and net liftm odels (incremental liftm odels).

Kim holds a B.S. in mathematics and economics and an M.S. in statistics.

Workshop:Net Lift Models: Optimizing the Impact of Your Marketing

Bill Lazarus, President and CEO, Seer Analytics, LLC

Bill Lazarus i s President and CEO of Seer Analytics, LLC, a technology-

based research and analytics company in Tampa Florida. Seer

produces actionable intelligence to help clients make smarter decision

and drive business performance.

Bill has worked in the non-profit and corporate sectors. He joined the

Dun & Bradstreet Corporation in 1984 where he held positions of

increasing respons ibility at three divisions and the corporate office.

In 1994, Bill founded Lazarus Associates, a consulting firm specializing in the use of data

and analytical tools to support strategydevelopment. In January 2001 Bill and his partners

formed Seer Analytics to provide consumer research products and services requiring a

subs tantial technological infrastructure.

Since its formation Seer has developed proprietarys oftware and process es to automate

complex data collection, analysis and reporting. Seer reports embed s ophisticated analytics

yet are designed to be access ible and m eaningful to a non-technical audience. They have

been used at every level ofthe organization, from frontline operations to boardroom planning.

Bill received his BAfrom the University of Wisconsin, his MA from the University of Toronto,

and his SM and PhD from the Mass achusetts Institute of Technology.




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Case Study: Turning Member Satisfaction Surveys into an Actionable Narrative

Tim Lopez, Vice President, Engineering, Gaia Interactive

Tim Lopez is VP of Engineering at Gaia Interactive, a social site that delivers over a billion

page views per m onth, processes over 100,000 transactions and gets m ore than 7 million

unique monthly users. Prior to that he worked in a number of differentfields, including

consumer databases and Java development tools.

Case Study: Decoding Customer Attention and Retention Behavior Using Predictive

Analytics

Antonia de Medinaceli, Senior Business Analyst, Elder Research, Inc.

Antonia de Medinaceli has extensive experience in a ll as pects of the

data mining process , and has solved challenges in many industries,

including financial, crime analysis , and customer relationship

management (CRM) industries. Her consulting experience is both

domestic and international. Antonia is experienced with mos t of the

leading statistical software packages. In addition to her consulting

experience, she has taught data mining short courses with the Elder

Research team. She has degrees in Com puter Science and Systems Engineering from the

University of Virginia.

Case Study: Fighting the Good Fraud Fight

Michael Murff, Manager, Risk Decision Management, PayPal

Michael Murff is Manager, Decision Management, and Web Statistician working for eBay

analytics groups, and recentlywith PayPal focused on automated fraud detection for PayPal

Risk Management. Mike holds advanced degrees s pecializing in Applied Econometrics and

research methods; he enjoys s tatistical computing on big data. He is expert in SAS macro

language and has since utilized many other data mining tools against mas sive datasets.

Most recentlyhis work on Rapid Model Refresh was featured at M2010.

Case Study: Bagging Trees for Online Analytic Scoring Engine

Dipesh Patel, Senior Manager, Product Marketing, ParAccel

Dipesh Patel joined ParAccel in 2010 after a varied career at IBM, Intel,

NetApp and CommVault. He is an enthusiastic champion of new and

emerging technologies that can be put into solving real-world problems

todayand tomorrow. From Big Analytics, to Linux, to Data Deduplication,

he's able to highlight connections across m ultiple technologies and

solution stacks to understand whatapproaches yield the most value at

the lowest level of risk.

Gold Sponsor Presentation:The Power & Promise of Big Data Analytics

Colin Shearer, WW Industry Solutions Leader, IBM

Colin Shearer is Worldwide Industry Solutions Leader for the SPSS

brand at IBM. With a background in Computer Science and Artificial

Intelligence at the University of Aberdeen, specializing in machine

learning, he has been involved since 1984 in applying advanced

software solutions to business problems . Previously with SD-Scicon

and Quintec Systems , he was one of the founders of Integral Solutions

Ltd. (ISL) in 1989,and was a pioneer of data mining in the early1990s.

He was creator and architect of ISL's award-winning Clem entine system (now IBMSPSS

Modeler) which introduced the visual workbench approach for data mi ning. Shearer's team at

ISL tackled numerous successful data mining applications in areas including finance,

broadcasting, market research and defense, and from 1996 to 1998 he jointlylet the

international initiative to create and p ublish the CRISP-DM methodology. In 1998 SPSS

acquired ISL, and Shearer became responsible for a worldwide team of data mining

consultants and for SPSS Advanced Data Mining Group. He s ubsequently held various

positions at SPSS including global head of Product Marketing and Senior Vice President for

Market Strategy. SPSS was acquired by IBMin October 2009, and Shearer moved to his

current position in January2010.

Diamond Sponsor Presentation:The Analytical Revolution

Expert Panel: Kaboom! Predictive Analytics Hits the Mainstream




9/11

Eric Siegel, Ph.D., Program Chair, Predictive Analytics World

The president of Prediction Impact, Inc., Eric Siegel is an expert in

predictive analytics and da ta mining and a former computer science

professor at Columbia University, where he won the engineering

school's award for teaching, including graduate-level courses in

machine learning and intelligent systems - the academic terms for

predictive analytics. After Columbia, Dr. Siegel co-founded two software

companies for customer profiling and data mining, and then started

Prediction Impact in 2003, providing predictive analytics services and training to m id-tier

through Fortune 100 companies.

Dr. Siegel is the instructor of the acclaimed training program, Predictive Analytics forBusiness, Marketing and Web, and the online version, Predictive Analytics Applied. He has

published over 20 papers and articles in data mining research and computer science

education, has s erved on 10 conference program committees, has chaired a AAAI

Sympos ium held at MIT,and is the founding chair of Predictive Analytics World.

Keynote: Five Ways Predictive Analytics Cuts Enterprise Risk

Panel: Kaboom! Predictive Analytics Hits the Mainstream

Marc Smith, Ph.D., Chief Social Scientist, Connected Action

Marc Smith is a sociologis t specializing in the social organization of online comm unities and

computer mediated interaction. Smith leads the Connected Action consulting group and lives

and works in Silicon Valley, California. Smith co-founded the Social Media Research

Foundation (http://www.smrfoundation.org/) , a non-profit devoted to open tools, data, and

scholarship related to social media research.

Smith is the co-editor with Peter Kollock of Commu nities in Cyberspace (Routledge), a

collection of ess ays exploring the ways identity; interaction and social order develop in onl ine

groups. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of

Analyzing Social Media Networks with NodeXL: Insights from a connected world, from

Morgan-Kaufmann which is a guide to mapping connections created through computer-

mediated interactions.

Smith received a B.S. in International Area Studies from Drexel Universityin Philadelphia in

1988, an M.Phil. in social theoryfrom Cambridge University in 1990, and a Ph.D. in Sociology

from UCLAin 2001.He is an affiliate facultyat the Department of Sociologyat the University

of Washington and the College of Information Studies at the University of Maryland. Smith is

also a Distinguished Visiting Scholar at the Media-X Program at Stanford University.

Social (Media) Network Analysis with NodeXL

Neha Swetambari, M anager, Business Intelligence Unit, ICICI Bank, India

Neha Swetambari, has been in the field of analytics for the last five years.She is respons ible

for intelligence in retail liabilities /deposits portfolio within the Bank.

She is a graduate in Statistics and an MBAin Finance.

Case Study: Leveraging Customer Network

James Taylor, CEO, Decision Management Solutions

James is the CEO and Principal Consultant of Decision Management

Solutions. James is the leading expert in decision management and

decisioning technologies. James is passionate about using decisioning

technologies like business rules and predictive analytics to help

companies improve decision making and develop smarter and more

agile processes and s ystems. James has over 20 years developing

software and solutions for clients and has led Decision Management

efforts for leading companies in ins urance, banking, health management and

telecommunications. He is also an active speaker, blogger (primarily at JTonEDM) and

author.

James delivers webinars, workshops and sales training for clients and vendors. He is a

keynote speaker at conferences s uch as the Business Rules Forum, Predictive Analytics

World and IBM's Busines s Analytics Forum. James was co-author of "Smart (Enough)Systems " (Prentice Hall, 2007) with Neil Raden, and has contributed chapters on decision

managem ent and busines s rules to multiple books including "Applying Real-World BPM in

an SAP Environment", "The Decision Model", "The Busines s Rules Revolution: Doing

Business The Right Way" and "Business Intelligence Implementation: Issues and

Perspectives". James is a facultym ember of the International Institute for Analytics and has

experience at FICO, PeopleSoft R&D, and Ernst & Young.




10/11

Full-day Workshop: Driving Enterprise Decisions w ith Business Analytics

Case Study: Deploying Analytics with a Rules-Based Infrastructure

Astro Teller, Ph.D., Director of New Projects, Google

Dr. Astro Teller is currently Director of New Projects for Google, working

to help the company explore new potential busines s areas. Astro is also

a co-founder and a current Director of Cerebellum Capital, a hedge fund

management firm whose investments are continuously designed,

executed, and improved bya s oftware system based on techniques from

statistical machine learning. Astro is als o co-founder and a currentDirector of BodyMedia, Inc, a leading wearable bodym onitoring

company. From 2007 to 2010, Astro was the founding CEO of Cerebellum Capital, Inc. From

1999 to 2007, Dr. Teller was the founding CEO of BodyMedia, Inc. Prior to starting

BodyMedia, Dr. Teller was co-founder, Chairman, and CEO ofSandbox Advanced

Development, an advanced development technologycompany. Before his tenure as a

busines s executive,Dr. Teller taught at Stanford University and was an engineer and

researcher for PhoenixLas er Technologies, Stanford's Center for Integrated Systems , and

The Carnegie Group Incorporated. Dr. Teller holds a Bachelor of Science in computer

science from Stanford University, Masters of Science in symbolic and heuris tic computation,

also from Stanford University, and a Ph.D. in artificial intelligence from Carnegie Mellon

University, where he was a recipient of the prestigious Hertz fellowship.

As a respected scientist and seasoned entrepreneur, Teller has success fullycreated and

grown five companies and hol ds num erous U.S. patents related to his work in hardware and

software technology. Dr. Teller's work in science, literature, art, and business has appearedin international media from the New York Times to CNN to NPR's "All Things Considered."

Teller regularlygives invited talks for national and international technology, government, and

busines s forums on the subject of the future of intelligent technology.

Making Technologies Intelligent: Data,Patterns, Access, and Architecture

Wayne Thompson, Analytics Product Manager, SAS

Wayne Thomps on is an Analytics Product Manager at SAS. His primary

efforts are centered on bringing relevant product/solution feedback from

customers to the SAS data mining development teams to extend SAS

Institute's leaders hip position i n the data mining market. SAS products

that Wayne brought to market include SAS Text Miner, SAS Model

Manager and SAS Scoring Accelerator for Teradata. Current focusinitiatives include eas y to use self-service data mining tools for busines s

analysts and in-database analytics. He has been em ployed at SAS since 1992. During his

tenure at SAS, Wayne als o served as a Statistical Services s pecialist for the Education

Division in which he developed and taught applied statistical courses as well as

collaborated on several data analysis projects for clients from many industries. Wayne

received his Ph.D. and M.S from the University of Tennessee in 1992 and 1987, respectively.

During his PhD program, he was also a visiting scientist at the InstitutSuperieur d'Agriculture

de Lille, Lille,France.


Noe Tuason, Research Manager, California State Automobile

Association

Noe is currently the Customer Res earch Manager for insurance at the

California State Automobile Ass ociation (CSAA). Prior to joining CSAA,

Noe worked for Deloitte Consulting as a project lead at the Advanced

Quantitative Services Group and for the Allstate Research and Planning

Center data mining and modeling Groups as a senior researcher. He

has published papers on research methods in various journals and

presented in conferences. Related to the current topic, Noe presented a

paper at the Advanced Research Techniques Forum comparing the use of logistic

regression, decision trees, and hybrid combination of the two on predicting short-term

defection. He also taught research methods at the Cal State University East Bayand was a

research co-investigator at the UCSF Comprehensive Cancer Center.

Case Study: Addressing Analytics Challenges in the Retail and Insurance Industries

Andreas S. Weigend, Ph.D., weigend.com, Former Chief Scientist,

Amazon.com




11/11

Andreas S. Weigend, Ph.D. was Chief Scientist at Amazon.com, where

he specialized in understanding how people behave online, helping

Amazon build its cus tomer-centric, meas urement-focused culture.

He now works as an independent consultant with firms including

Alibaba, Lufthansa, MySpace, and Nokia,helping some of the most

brilliant executives around the world leverage user data to produce

innovative products and business models . He also teaches at Stanford and UC Berkeley,

and is often invited to speak at international events.

The State of the Social Data Revolution


Yangling Zhang, Director of Business Intelligence, Monster Worldwide

Ms. Yangling Zhang is Director of Business Intelligence at Monster

Worldwide. Ms. Zhang is responsible for providing data mining,

statistical analyses, m easurement, and experimental design, predictive

modeling and methodology advice as well as s trategy

recommendations to support Monster's prospects acquisition, customer

retention, profit maximization, product development and site optimization.

Prior to joining Monster, Ms. Zhang was leadi ng the analytics efforts to provide digital

strategies for a consulting firm Molecular. She had worked with an impressive list of clients

worldwide including: Monster Worldwide, BrownCo, PCconnections, VistaPrint, UPS, Liberty

Mutual, Philips, KeyBank, Talbots, PerkinElmer, Analog Devices, Nikon, Lenox, Monster, RH

Donally,Project Management Institute, Harvard Business School Publishing, TripAdvisor,

Adidas, Upromise, Susquehanna, Solidworks, Synovate and Arrow electronics.

Ms. Zhang previously provided ad agency Hill Holliday analytics and strategies for clients

CVS, State Farm, Dunkin' Donuts, Bank of America, Dell, Verizon, etc. Before that, she

contributed her effortat CRM leader Siebel Systems , Healthcare leader CareGroup with risk

adjustmentm odels.

Ms. Zhang holds an MBA in Management Information Systems and MS in Economics.

She was a facultym ember teaching at Central University of Finance and Economics in China

before she came to United States.

Outside work, Ms. Zhang directs the AWANA Truth and Training program at the Chinese Bible

Church of Greater Boston. She co-founded and leads Bos ton's local chapter of the Hand by

Hand Education Foundation to help needy students continue their education. She isappointed to be the executive director to promote health awareness and quality of life at the

American Chinese Medical Exchange Society.

Case Study: A Holistic Predictive Analytics Methodology

Jane Zheng, Principal Decision Scientist, Fidelity Investments

Jane Zheng is a Principal Decision Scientist with the Modeling and

Analytics Strategy team at Fidelity. Jane has more than 15 years

experience in modeling, data mining and market research in financial

services and consulting.

Jane received her BA in engineering and her MS in m athmatical

statistics.

True-Lift Modeling:Mining for the Most Truly Responsive Customers and Prospects

2011 Predictive Analytics World

Produced by Prediction Impact, Inc. and RisingMedia, Inc.


Documents

Predictive Analytics World Conference_ Speakers - March, 2011